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ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

algforopt-notebooks

Jupyter notebooks associated with the Algorithms for Optimization textbook

apexcalculusv4

APEX Calculus text, Version 4. Static; for updated files, see APEXCalculusV5.

applied_metrics

A PhD course in Applied Econometrics and Panel Data

bayes

Neat Bayesian machine learning examples

beautifulalgorithms.jl

Concise and beautiful algorithms written in Julia

calculuswithjulia.jl

causal-inference-1

Causal Inference 1 Mixtape Session

causal-inference-and-discovery-in-python

Causal Inference and Discovery in Python by Packt Publishing

causal-inference-visual-guides

A collection of visual guides to help applied scientists learn causal inference.

causality

Notes, exercises and other materials related to causal inference, causal discovery and causal ML.

chloepy

Python Teaching Material for Chloe

class

computationalfinance

Code for the MSc Finance course "Computational Finance" at U Amsterdam

conformal-learning

Code related to different aspects of conformal learning

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

conformal-rnn

Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.

conformal_training

This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classifiers".

conformalprediction.jl

Uncertainty quantification through conformal prediction for machine learning models trained in MLJ.

cornell-cs5785-2020-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

do-calculus-proofs-project

This is a standalone LaTex doc featuring the chapter entitled "Do Calculus proofs" from the free open source book Bayesuvius (also at GitHub) about Bayesian Networks and Causal Inference.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

econometrics

Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam

econometrics.jl

Econometrics in Julia

every-programmer-should-know

A collection of (mostly) technical things every software developer should know about

fall-in-love-with-julia

An introductory 101 series to get to know the power of Julialang

fwlib

fanuc focas library compile & runtime files

geomol

gitpractice

For Git Practice Only

gov2003-f21-site